Resources
Support your learning through our searchable research library and discover valuable resources about many topics in artificial intelligence and data analytics, such as AI ethics, bias and data tools.
Select the We Count at Large tag to view a selection of speaking engagements and presentations by IDRC team members. Many of these resources showcase the efforts of IDRC Director Jutta Treviranus, whose pioneering work and insights in AI and inclusive AI continue to inspire and lead the field.
10 Ways Designers and Researchers Can Meaningfully Engage with Disabled People in 2023
- Intermediate
Discover ten things designers and researchers can do to make their engagement with people with disabilities more effective in 2023.
2008 Digital 21 Strategy
The Government of Hong Kong's 2008 digital strategy, with a focus on ICT adoption.
2010 ADA Standards for Accessible Design
2010 revisions to the ADA Standards for Accessible Design.
2020 State of Data Science
- Beginner
A survey that highlights how data science is maturing in commerical environments and academic institutions are preparing data science students for the workplace.
2021 AI Index Report
- Expert
The 2021 AI Index Report highlights nine takeaways, including AI's diversity challenge, the importance of benchmarks for AI ethics, and the rise of surveillance technology.
2022-2025 Government of Nova Scotia Accessibility Plan
Government of Nova Scotia's accessibility plan.
2022 AI Index Report
- Expert
The 2022 AI Index Report features an updated look at new and ongoing developments in the field of artificial intelligence.
2023 AI Index Report
- Intermediate
The top takeaways of Stanford HAI's 2023 AI Index Report include how AI is both harming and helping the environment, how Big Tech is outpacing academia and an increase in AI misuse.
3 Questions: How to Help Students Recognize Potential Bias in Their AI Datasets
- Intermediate
According to a senior research scientist at MIT, post-secondary courses on developing AI models for health care need to focus more on teaching students how to identify and address bias.
3 Questions: The Pros and Cons of Synthetic Data in AI
- Expert
Learn about the pros and cons of using synthetic data to train AI and how to avoid some of its pitfalls.